With the continuous development of Internet of Things (IoT) and the overwhelming explosion
of Big Data, edge computing serves as an efficient computing mode for time stringent data …

Cloud computing is highly being used for several years for various purposes. From daily
tasks, such as reading e-mails, watching videos to the factory automation and device control …

It's possible to explain Edge computing (EC) as a distributed system of IT that decentralized
the power of processing in which the mobile Internet of Things (IoT) computing would be …

With the increasing stringent QoS constraints (eg, latency, bandwidth, jitter) imposed by
novel applications (eg, e-Health, autonomous vehicles, smart cities, etc.), as well as the …

The awareness of edge computing is attaining eminence and is largely acknowledged with
the rise of the Internet of Things (IoT). Edge-enabled solutions offer efficient computing and …

This article argues that low latency, high bandwidth, device proliferation, sustainable digital
infrastructure, and data privacy and sovereignty continue to motivate the need for edge …

Given its advantages in low latency, fast response, context-aware services, mobility, and
privacy preservation, edge computing has emerged as the key support for intelligent …

With the booming development of Internet-of-Things (IoT) and communication technologies
such as 5G, our future world is envisioned as an interconnected entity where billions of …

As an important enabler for changing people's lives, advances in artificial intelligence (AI)-
based applications and services are on the rise, despite being hindered by efficiency and …

Recent advances in AI have led to a number of intelligent applications, such as intelligent
personal assistants, context-related and personalized buying advice, automated video …